FullContact is a contact data and identity resolution platform whose core goal is to link identifiers scattered across different systems and digital touchpoints to the same person, forming a unified customer record.
In terms of use, the materials indicate that it can be used for real-time identification of individual identities, helping enterprises understand customers beyond names and email addresses; transforming fragmented data pieces into dynamic, unified customer records; appending 900+ unique data attributes to new and existing customer records; identifying website visitors and forming a stream of high-intent leads; and connecting online and offline data to transform anonymous website traffic into precise customer segments.
Main capabilities include Identity Resolution, first-party data organization and enrichment, website visitor identification, data attribute appending, and data foundation support for AI. The materials mention that identity resolution can provide AI agents with a single source of trusted data, enabling them to interact more confidently and accurately; it also mentions resolving user identities and providing 700+ behavioral insights, with match rates of up to 85%, while emphasizing protecting data privacy and delivering a single customer view.
In terms of usage, the materials explain that one can start by checking how many contact fragments in the CRM or CDP belong to the same person; for MarTech/AdTech platforms, it can provide a unified customer view for customer identification, personalization, media amplification, and more; for consumer brands, it can enable hyper-precise cross-channel engagement without handling PII and while maintaining full control over their own data.
Applicable scenarios include MarTech/AdTech platforms building a complete customer platform, consumer brands enhancing customer experience and cross-channel personalization, transforming anonymous website traffic into customer segments, and providing a unified customer data foundation for AI applications.
In terms of limitations, the materials do not provide specific pricing, deployment methods, data coverage, compliance certification details, or technical support terms; no relevant information is currently available. Performance data such as match rates mentioned in the text come from official statements, and actual results need to be evaluated in light of the enterprise's own data situation.